# OGSTools 0.1.0 Release Notes The second release of the `ogstools`-package brings lots of new library functionality for e.g. plotting and mesh generation as well as a new tool for converting FEFLOW meshes! A full-featured prebuilt [Docker image](../user-guide/docker.md) is provided. ## Library [`feflowlib`](../user-guide/feflowlib.md) is a new package for accessing FEFLOW easily in `pyvista`. [`meshlib`](../user-guide/meshlib.md) is a new package for efficient mesh generation from surfaces. It can be used to create meshes from {ref}`PyVista surfaces ` and from {ref}`.vtu surface files `. ______________________________________________________________________ [`meshplotlib`](../user-guide/meshplotlib.md) is a new package to visualize {ref}`2D ` and {ref}`3D ` mesh data. It also can generate {ref}`animations `: ![](../auto_examples/howto_meshplotlib/images/sphx_glr_plot_animation_001.gif) ______________________________________________________________________ [`propertylib`](../user-guide/propertylib.md) is a new package which provides a base class to handle {ref}`common mesh properties systematically ` (e.g. temperature, pressure, displacement, ...). ______________________________________________________________________ [`nuclearwasteheat`](../user-guide/nuclearwasteheat.md) provides an easy way to {ref}`calculate the heat generated by nuclear waste repositories `. ## Tools The new [`feflow2ogs`](../user-guide/feflowlib.md)-tool converts data stored in FEFLOW binary format to VTK format. It can only be used with a [FEFLOW installation](../user-guide/feflowlib.md#installation). ## Infrastructure & Development [Examples](../auto_examples/index.rst) on the web page are generated via [sphinx_gallery](https://sphinx-gallery.github.io/stable/index.html) which also allows for downloading the example as an Jupyter Notebook file. We also added some shortcuts via `make` for [development related tasks](../development/index.md) such as setting up the development environment, running the tests or creating a live preview of the documentation. Development can now be done via VSCode's [Dev Containers](../development/index.md#development-in-a-container-with-vscode).